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CSI 5328: Artificial Intelligence

Spring 2027 · 3 credit hours · 1 section · 19 open seats as of Oct 30, 2026, 1:47 AM Central

This course introduces the core principles and methods of artificial intelligence, including maximum likelihood estimation, numerical optimization, artificial neural networks, convolutional neural networks, deep reinforcement learning, graphical models, transformers, and large language models. Students will learn both the theoretical foundations and practical techniques for designing, implementing, and evaluating intelligent systems in real-world settings.

Professors teaching CSI 5328 in Spring 2027

Chen Zhao. See their BUBooks scores and reported grades in the builder.

Sections

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